documentation dict | validate_training bool | val_split_mode string | val_data_root null | val_split_proportion float64 | stabilize_training_loss bool | stabilize_split_proportion float64 | every_n_epochs int64 | seed int64 |
|---|---|---|---|---|---|---|---|---|
{
"validate_training": "If true, validate the training using a separate set of image/caption pairs, and log the results as `loss/val`. The curve will trend downwards as the model trains, then flatten and start to trend upwards as effective training finishes and the model begins to overfit the training data. Very usef... | true | automatic | null | 0.15 | true | 0.15 | 1 | 555 |
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